Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F84296309246062B3363C5C079F2EB0F33A58307D7074428AAFA16A693CEDE5DA7B1D5 |
|
CONTENT
ssdeep
|
192:Lk+2ZLzcSHAEmn32cYLMr2AM1TRfYKiIIXWUaMVFJrO59Y:Qvui1T5DiIIXWFElU6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3933c6ce3199cc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0010303232321000 |
|
VISUAL
wHash
|
1018383838383830 |
|
VISUAL
colorHash
|
38040006000 |
|
VISUAL
cropResistant
|
0010303232321000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)